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physics benchmark

PIQA Leaderboard

PIQA is a benchmark dataset for physical commonsense reasoning in natural language, with 21,000 multiple choice questions about everyday physical interactions.

Updated Sep 5, 2026

Models11
Model coverage11
MetricScore
EvidenceB

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PIQA Ranking

Higher score ranks better on this benchmark.

11 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMIPhi-3.5-MoE-instructMicrosoftScore88.60%Percentile100.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank02ModelNRHermes 3 70BNous ResearchScore84.44%Percentile90.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank03ModelGOGemma 2 27BGoogleScore83.20%Percentile80.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank04ModelGOGemma 2 9BGoogleScore81.70%Percentile70.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank05ModelGOGemma 3n E4BGoogleScore81.00%Percentile60.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank06ModelGOGemma 3n E4B Instructed LiteRT PreviewGoogleScore81.00%Percentile50.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank07ModelMIPhi-3.5-mini-instructMicrosoftScore81.00%Percentile40.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank08ModelGOGemma 3n E2BGoogleScore78.90%Percentile30.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank09ModelGOGemma 3n E2B Instructed LiteRT (Preview)GoogleScore78.90%Percentile20.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank10ModelMIPhi 4 MiniMicrosoftScore77.60%Percentile10.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank11ModelBAERNIE 4.5BaiduScore55.20%Percentile0.00%Participants11EvidenceCEvaluatedSep 8, 2026

PIQA Highlights

The leading models and scores on this benchmark.

PIQA Score Distribution

A closer view of the leading scores on this benchmark.

PIQA

The Top AI Models for PIQA

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is PIQA?

What PIQA measures and how its scores work.

PIQA (Physical Interaction: Question Answering) is a benchmark dataset in the physics category that tests AI systems with multiple choice questions requiring physical world knowledge.

It measures the ability to choose the most appropriate solution for physical interactions in everyday situations, with performance reported as Score in ratio units.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
PIQA
Modality
text
Primary category
physics
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about PIQA.

Which model scores highest on PIQA?

Phi-3.5-MoE-instruct is currently ranked first with 88.60%.

What are the top three models on PIQA?

The current leaders are Phi-3.5-MoE-instruct (88.60%), Hermes 3 70B (84.44%), and Gemma 2 27B (83.20%).

Which PIQA model has the lowest official input price?

Phi 4 Mini has the lowest matched official input price at $0.08 input / $0.30 output per 1M tokens.

Which models are fastest among PIQA results?

The fastest matched records are Phi-3.5-mini-instruct (23.00 tok/s via Azure).

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does PIQA measure?

It measures the ability to choose the most appropriate solution for physical interactions in everyday situations, with performance reported as Score in ratio units.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

11 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1Phi-3.5-MoE-instruct88.60%
Rank #2Hermes 3 70B84.44%
Rank #3Gemma 2 27B83.20%
Rank #4Gemma 2 9B81.70%

Ranking basisThis piqa AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    MI
    Phi-3.5-MoE-instructMicrosoft
    Score
    88.60%

    Strengths

    • Ranks #1 of 11 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures PIQA, not total model capability
  2. 02
    NR
    Hermes 3 70BNous Research
    Score
    84.44%

    Strengths

    • Ranks #2 of 11 compared models
    • 90th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures PIQA, not total model capability
  3. 03
    GO
    Google
    Score
    83.20%

    Strengths

    • Ranks #3 of 11 compared models
    • 80th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures PIQA, not total model capability
  4. 04
    GO
    Google
    Score
    81.70%

    Strengths

    • Ranks #4 of 11 compared models
    • 70th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures PIQA, not total model capability
  5. 05
    GO
    Google
    Score
    81.00%

    Strengths

    • Ranks #5 of 11 compared models
    • 60th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures PIQA, not total model capability

Selection summary

Best AI Models for PIQA

Phi-3.5-MoE-instruct currently leads PIQA with 88.60%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

Gemma 2 27B
Gemma 2 9B
Gemma 3n E4B
Benchmark rank #1Phi-3.5-MoE-instruct88.60%
Benchmark rank #2Hermes 3 70B84.44%
Benchmark rank #3Gemma 2 27B83.20%